School of Engineering
Showing 6,201-6,300 of 6,710 Results
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Jiajun Wu
Assistant Professor of Computer Science
BioJiajun Wu is an Assistant Professor of Computer Science at Stanford University, working on computer vision, machine learning, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the AFOSR Young Investigator Research Program (YIP), the ACM Doctoral Dissertation Award Honorable Mention, the AAAI/ACM SIGAI Doctoral Dissertation Award, the MIT George M. Sprowls PhD Thesis Award in Artificial Intelligence and Decision-Making, the 2020 Samsung AI Researcher of the Year, the IROS Best Paper Award on Cognitive Robotics, and faculty research awards from JPMC, Samsung, Amazon, and Meta.
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Min Wu
Postdoctoral Scholar, Computer Science
Current Research and Scholarly InterestsSafe and trustworthy AI: robustness, explainability, and fairness
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Qianying Wu
Ph.D. Student in Mechanical Engineering, admitted Autumn 2018
BioQianying Wu is a PhD candidate in the Mechanical Engineering Department at Stanford.
Growing up in a hot and humid climate in south China, Qianying developed her particular interest in thermal management. In the Nanoheat lab and advised by Prof. Ken Goodson, she is currently working on the design and fabrication of microporous wicking structures for capillary-driven two-phase heat and mass transfer, the simulation and integration of such engineered structures in novel high heat flux cooling devices, and exploring ways to utilize these technologies for positive energy and sustainability impact.
Qianying received her B.S in Engineering with top honors from Tsinghua University, where she was awarded the Xia An Shi Prize and National Scholarship, and her B. Econ from the School of Economics and Management at Tsinghua, where she was supported by a Fu Lai Chun Scholarship. -
Yecun Wu
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioYecun Wu is a senior Ph.D. candidate at Electrical Engineering, Stanford University supervised in by Prof. Yi Cui, while working closely with Prof. Harold Y. Hwang. His research focuses on the engineering of two-dimensional materials by electrochemical methods (e.g., intercalation) for quantum hardware (low-dimensional magnetism and superconductivity), AI hardware (neuromorphic computing), and renewable energy (e.g., hydrogen production).
Ph.D., Stanford University, Stanford, CA, USA. (09/2017 – present)
MS., Stanford University, Stanford, CA, USA. (09/2017 – 04/2020) -
Tiange Xiang
Ph.D. Student in Computer Science, admitted Autumn 2022
BioTiange Xiang is a Ph.D. student in Computer Science at Stanford University, where he is a member of the Stanford AI Lab (SAIL) and Stanford Vision and Learning Lab (SVL). His research interests include machine learning and computer vision in general. He received a bachelor's degree in Computer Science and Technology (Advanced)(Honors) from the University of Sydney, where he was awarded Honors Class I and the University Medal.
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Lei Xing
Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly Interestsartificial intelligence in medicine, medical imaging, Image-guided intervention, molecular imaging, biology guided radiation therapy (BGRT), treatment plan optimization
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Jian Xiong
Postdoctoral Scholar, Chemical Engineering
BioI thrive to understand the roles of lysosomes in physiological and pathological conditions. Lysosomes are both degradation compartment and metabolic controlling hub, and dysregulation of lysosomal functions are frequently implicated in a vast number of diseases including neurodegenerative diseases, however, the systematic knowledge of the molecular mechanism by which lysosomal contributes to these diseases is lacking. Ion channels are the primary mediators of neuronal activity, defects in neuronal ion channel activity are linked with many kinds of neurodegenerative diseases. Interestingly, besides typical ion channels that are involved in the neuronal activity, defects in lysosomal ion channels, such as TRPML1, CLN7 and CLC-7 are also implicated in neuropathy. My previous work as Ph.D student in University of Texas MD Anderson Cancer Center focused on regulation of lysosomal function by ion channels and metabolites. I discovered a mechanism of lysosomal Na+ channel regulate mTORC1 activation by regulating lysosomal amino acid accumulation. I also discovered role of glutamine in controlling lysosomal degradation capacity. In the meantime, I developed novel methods to isolate organelles. My ultimate research goal is to understand the key developmental pathways and how alterations in gene sequences and expression contribute to human disease, therefore, I am pursuing independent academic researcher as my career goal. Starting Feb 2022, I work with Dr. Monther Abu-Remaileh at Stanford University on role of lysosomes in neurodegenerative diseases. I use genetics, chemical biology and omics approaches to study lysosome function under various physiological and pathological conditions, especially age-associated neurodegenerative disorders, and monogenic neurodegenerative lysosome storage diseases. In Stanford, I aim to integrate ionic regulation, metabolomic regulation and functional proteomic regulation to systematically understand the biology of lysosome in physiological conditions and pathological conditions.
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Charles Xu
Masters Student in Management Science and Engineering, admitted Winter 2021
BioLearn more about Charles at https://charlesxu.io/about
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Chengyi Xu
Postdoctoral Scholar, Chemical Engineering
BioSkin-inspired sensing and actuating technologies: from cephalopod camouflage to human tactile perception
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Kuang Xu
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering
BioKuang Xu is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business, and Associate Professor by courtesy with the Electrical Engineering Department, Stanford University. Born in Suzhou, China, he received the B.S. degree in Electrical Engineering (2009) from the University of Illinois at Urbana-Champaign, and the Ph.D. degree in Electrical Engineering and Computer Science (2014) from the Massachusetts Institute of Technology.
His research primarily focuses on understanding fundamental properties and design principles of large-scale stochastic systems using tools from probability theory and optimization, with applications in queueing networks, healthcare, privacy and machine learning. He received First Place in the INFORMS George E. Nicholson Student Paper Competition (2011), the Best Paper Award, as well as the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS (2013), and the ACM SIGMETRICS Rising Star Research Award (2020). He currently serves as an Associate Editor for Operations Research and Management Science. -
Kun Xu
Postdoctoral Scholar, Mechanical Engineering
Current Research and Scholarly InterestsMaterials characterization by using advanced electron microscopy
